Overview

Brought to you by YData

Dataset statistics

Number of variables12
Number of observations1326
Missing cells0
Missing cells (%)0.0%
Duplicate rows28
Duplicate rows (%)2.1%
Total size in memory124.4 KiB
Average record size in memory96.1 B

Variable types

Numeric12

Alerts

Dataset has 28 (2.1%) duplicate rowsDuplicates
L1 is highly overall correlated with L4 and 2 other fieldsHigh correlation
L2 is highly overall correlated with L3 and 2 other fieldsHigh correlation
L3 is highly overall correlated with L2 and 3 other fieldsHigh correlation
L4 is highly overall correlated with L1 and 2 other fieldsHigh correlation
L5 is highly overall correlated with L1 and 2 other fieldsHigh correlation
L7 is highly overall correlated with L2 and 1 other fieldsHigh correlation
L8 is highly overall correlated with L1 and 3 other fieldsHigh correlation
L6 is highly skewed (γ1 = 23.56039107) Skewed
L9 is highly skewed (γ1 = 25.15595617) Skewed
L10 is highly skewed (γ1 = 33.94019527) Skewed
L11 is highly skewed (γ1 = 26.23626455) Skewed
L1 has 1001 (75.5%) zeros Zeros
L2 has 1153 (87.0%) zeros Zeros
L3 has 1154 (87.0%) zeros Zeros
L4 has 1070 (80.7%) zeros Zeros
L5 has 1002 (75.6%) zeros Zeros
L6 has 1280 (96.5%) zeros Zeros
L7 has 1218 (91.9%) zeros Zeros
L8 has 1025 (77.3%) zeros Zeros
L9 has 1308 (98.6%) zeros Zeros
L10 has 1321 (99.6%) zeros Zeros
L11 has 1320 (99.5%) zeros Zeros
L12 has 1316 (99.2%) zeros Zeros

Reproduction

Analysis started2024-12-16 05:03:59.295974
Analysis finished2024-12-16 05:04:14.450512
Duration15.15 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

L1
Real number (ℝ)

High correlation  Zeros 

Distinct124
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14405128
Minimum0
Maximum1
Zeros1001
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:14.562203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.98675
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.29094754
Coefficient of variation (CV)2.0197498
Kurtosis2.2975753
Mean0.14405128
Median Absolute Deviation (MAD)0
Skewness1.9098804
Sum191.012
Variance0.084650473
MonotonicityDecreasing
2024-12-16T08:34:14.696415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1001
75.5%
1 67
 
5.1%
0.5 33
 
2.5%
0.333 15
 
1.1%
0.667 13
 
1.0%
0.25 11
 
0.8%
0.75 11
 
0.8%
0.4 9
 
0.7%
0.833 7
 
0.5%
0.286 6
 
0.5%
Other values (114) 153
 
11.5%
ValueCountFrequency (%)
0 1001
75.5%
0.059 1
 
0.1%
0.067 1
 
0.1%
0.071 1
 
0.1%
0.077 1
 
0.1%
0.083 1
 
0.1%
0.1 1
 
0.1%
0.103 1
 
0.1%
0.105 1
 
0.1%
0.111 2
 
0.2%
ValueCountFrequency (%)
1 67
5.1%
0.947 1
 
0.1%
0.933 1
 
0.1%
0.923 1
 
0.1%
0.909 4
 
0.3%
0.895 1
 
0.1%
0.857 2
 
0.2%
0.833 7
 
0.5%
0.818 1
 
0.1%
0.812 1
 
0.1%

L2
Real number (ℝ)

High correlation  Zeros 

Distinct92
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.045003017
Minimum0
Maximum1
Zeros1153
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:14.828278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.16091308
Coefficient of variation (CV)3.5756065
Kurtosis21.740831
Mean0.045003017
Median Absolute Deviation (MAD)0
Skewness4.5575525
Sum59.674
Variance0.025893019
MonotonicityNot monotonic
2024-12-16T08:34:14.972410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1153
87.0%
1 21
 
1.6%
0.143 8
 
0.6%
0.25 7
 
0.5%
0.333 7
 
0.5%
0.111 6
 
0.5%
0.2 6
 
0.5%
0.5 6
 
0.5%
0.667 4
 
0.3%
0.059 4
 
0.3%
Other values (82) 104
 
7.8%
ValueCountFrequency (%)
0 1153
87.0%
0.006 1
 
0.1%
0.007 1
 
0.1%
0.015 1
 
0.1%
0.023 1
 
0.1%
0.033 3
 
0.2%
0.034 1
 
0.1%
0.042 1
 
0.1%
0.043 1
 
0.1%
0.047 1
 
0.1%
ValueCountFrequency (%)
1 21
1.6%
0.941 1
 
0.1%
0.857 1
 
0.1%
0.833 1
 
0.1%
0.8 3
 
0.2%
0.75 2
 
0.2%
0.667 4
 
0.3%
0.6 1
 
0.1%
0.571 1
 
0.1%
0.556 1
 
0.1%

L3
Real number (ℝ)

High correlation  Zeros 

Distinct97
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0380181
Minimum0
Maximum1
Zeros1154
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:15.102566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.286
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.12922582
Coefficient of variation (CV)3.3990604
Kurtosis24.494251
Mean0.0380181
Median Absolute Deviation (MAD)0
Skewness4.5841546
Sum50.412
Variance0.016699311
MonotonicityNot monotonic
2024-12-16T08:34:15.260493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1154
87.0%
0.2 11
 
0.8%
0.25 9
 
0.7%
1 8
 
0.6%
0.5 8
 
0.6%
0.333 7
 
0.5%
0.167 6
 
0.5%
0.4 5
 
0.4%
0.286 4
 
0.3%
0.063 3
 
0.2%
Other values (87) 111
 
8.4%
ValueCountFrequency (%)
0 1154
87.0%
0.028 1
 
0.1%
0.032 1
 
0.1%
0.033 1
 
0.1%
0.034 1
 
0.1%
0.038 1
 
0.1%
0.043 2
 
0.2%
0.047 1
 
0.1%
0.051 1
 
0.1%
0.053 1
 
0.1%
ValueCountFrequency (%)
1 8
0.6%
0.833 1
 
0.1%
0.8 2
 
0.2%
0.75 2
 
0.2%
0.667 1
 
0.1%
0.625 1
 
0.1%
0.571 2
 
0.2%
0.545 2
 
0.2%
0.538 1
 
0.1%
0.52 1
 
0.1%

L4
Real number (ℝ)

High correlation  Zeros 

Distinct103
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.082401207
Minimum0
Maximum1
Zeros1070
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:15.396063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.60975
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.22053185
Coefficient of variation (CV)2.6763182
Kurtosis9.125015
Mean0.082401207
Median Absolute Deviation (MAD)0
Skewness3.1067249
Sum109.264
Variance0.048634295
MonotonicityNot monotonic
2024-12-16T08:34:15.530555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1070
80.7%
1 47
 
3.5%
0.5 18
 
1.4%
0.25 16
 
1.2%
0.667 11
 
0.8%
0.333 11
 
0.8%
0.2 8
 
0.6%
0.167 7
 
0.5%
0.111 5
 
0.4%
0.143 5
 
0.4%
Other values (93) 128
 
9.7%
ValueCountFrequency (%)
0 1070
80.7%
0.026 1
 
0.1%
0.028 1
 
0.1%
0.029 1
 
0.1%
0.037 1
 
0.1%
0.044 1
 
0.1%
0.045 1
 
0.1%
0.053 3
 
0.2%
0.056 1
 
0.1%
0.059 1
 
0.1%
ValueCountFrequency (%)
1 47
3.5%
0.9 1
 
0.1%
0.818 1
 
0.1%
0.778 1
 
0.1%
0.75 3
 
0.2%
0.667 11
 
0.8%
0.625 1
 
0.1%
0.615 1
 
0.1%
0.613 1
 
0.1%
0.6 2
 
0.2%

L5
Real number (ℝ)

High correlation  Zeros 

Distinct122
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15074962
Minimum0
Maximum1
Zeros1002
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:15.656425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.29968744
Coefficient of variation (CV)1.9879813
Kurtosis1.867856
Mean0.15074962
Median Absolute Deviation (MAD)0
Skewness1.8169549
Sum199.894
Variance0.089812561
MonotonicityNot monotonic
2024-12-16T08:34:15.799253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1002
75.6%
1 70
 
5.3%
0.5 30
 
2.3%
0.75 14
 
1.1%
0.667 11
 
0.8%
0.333 11
 
0.8%
0.8 8
 
0.6%
0.4 7
 
0.5%
0.25 7
 
0.5%
0.833 6
 
0.5%
Other values (112) 160
 
12.1%
ValueCountFrequency (%)
0 1002
75.6%
0.059 1
 
0.1%
0.077 1
 
0.1%
0.091 2
 
0.2%
0.1 2
 
0.2%
0.103 1
 
0.1%
0.107 1
 
0.1%
0.111 5
 
0.4%
0.12 1
 
0.1%
0.129 1
 
0.1%
ValueCountFrequency (%)
1 70
5.3%
0.947 1
 
0.1%
0.917 1
 
0.1%
0.915 1
 
0.1%
0.909 3
 
0.2%
0.867 1
 
0.1%
0.865 1
 
0.1%
0.864 1
 
0.1%
0.857 4
 
0.3%
0.846 1
 
0.1%

L6
Real number (ℝ)

Skewed  Zeros 

Distinct35
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0030301659
Minimum0
Maximum1
Zeros1280
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:16.083852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.032422038
Coefficient of variation (CV)10.699757
Kurtosis685.25487
Mean0.0030301659
Median Absolute Deviation (MAD)0
Skewness23.560391
Sum4.018
Variance0.0010511885
MonotonicityNot monotonic
2024-12-16T08:34:16.200899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1280
96.5%
0.023 4
 
0.3%
0.25 3
 
0.2%
0.043 3
 
0.2%
0.125 2
 
0.2%
0.013 2
 
0.2%
0.007 2
 
0.2%
0.015 2
 
0.2%
0.071 2
 
0.2%
0.019 1
 
0.1%
Other values (25) 25
 
1.9%
ValueCountFrequency (%)
0 1280
96.5%
0.004 1
 
0.1%
0.005 1
 
0.1%
0.007 2
 
0.2%
0.011 1
 
0.1%
0.013 2
 
0.2%
0.015 2
 
0.2%
0.016 1
 
0.1%
0.019 1
 
0.1%
0.02 1
 
0.1%
ValueCountFrequency (%)
1 1
 
0.1%
0.25 3
0.2%
0.222 1
 
0.1%
0.143 1
 
0.1%
0.133 1
 
0.1%
0.125 2
0.2%
0.118 1
 
0.1%
0.109 1
 
0.1%
0.1 1
 
0.1%
0.094 1
 
0.1%

L7
Real number (ℝ)

High correlation  Zeros 

Distinct65
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.028150075
Minimum0
Maximum1
Zeros1218
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:16.330619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.167
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.12776298
Coefficient of variation (CV)4.5386372
Kurtosis35.739904
Mean0.028150075
Median Absolute Deviation (MAD)0
Skewness5.7452148
Sum37.327
Variance0.016323379
MonotonicityNot monotonic
2024-12-16T08:34:16.461352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1218
91.9%
1 12
 
0.9%
0.5 7
 
0.5%
0.333 5
 
0.4%
0.2 4
 
0.3%
0.429 4
 
0.3%
0.167 4
 
0.3%
0.1 3
 
0.2%
0.143 3
 
0.2%
0.091 3
 
0.2%
Other values (55) 63
 
4.8%
ValueCountFrequency (%)
0 1218
91.9%
0.007 1
 
0.1%
0.011 1
 
0.1%
0.019 1
 
0.1%
0.023 1
 
0.1%
0.034 1
 
0.1%
0.035 1
 
0.1%
0.038 2
 
0.2%
0.042 1
 
0.1%
0.048 1
 
0.1%
ValueCountFrequency (%)
1 12
0.9%
0.824 1
 
0.1%
0.8 2
 
0.2%
0.778 1
 
0.1%
0.75 1
 
0.1%
0.667 2
 
0.2%
0.6 1
 
0.1%
0.565 1
 
0.1%
0.5 7
0.5%
0.429 4
 
0.3%

L8
Real number (ℝ)

High correlation  Zeros 

Distinct114
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11564027
Minimum0
Maximum1
Zeros1025
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:16.590075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.78625
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25537369
Coefficient of variation (CV)2.2083457
Kurtosis4.5268133
Mean0.11564027
Median Absolute Deviation (MAD)0
Skewness2.3345498
Sum153.339
Variance0.065215722
MonotonicityNot monotonic
2024-12-16T08:34:16.719722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1025
77.3%
1 56
 
4.2%
0.5 22
 
1.7%
0.25 16
 
1.2%
0.333 16
 
1.2%
0.667 12
 
0.9%
0.4 10
 
0.8%
0.167 7
 
0.5%
0.286 6
 
0.5%
0.75 6
 
0.5%
Other values (104) 150
 
11.3%
ValueCountFrequency (%)
0 1025
77.3%
0.058 1
 
0.1%
0.065 1
 
0.1%
0.067 1
 
0.1%
0.068 1
 
0.1%
0.091 1
 
0.1%
0.105 1
 
0.1%
0.111 3
 
0.2%
0.114 1
 
0.1%
0.118 2
 
0.2%
ValueCountFrequency (%)
1 56
4.2%
0.871 1
 
0.1%
0.857 2
 
0.2%
0.833 2
 
0.2%
0.818 1
 
0.1%
0.8 4
 
0.3%
0.789 1
 
0.1%
0.778 1
 
0.1%
0.75 6
 
0.5%
0.719 1
 
0.1%

L9
Real number (ℝ)

Skewed  Zeros 

Distinct17
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0021425339
Minimum0
Maximum1
Zeros1308
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:16.833603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03196517
Coefficient of variation (CV)14.91933
Kurtosis737.2136
Mean0.0021425339
Median Absolute Deviation (MAD)0
Skewness25.155956
Sum2.841
Variance0.0010217721
MonotonicityNot monotonic
2024-12-16T08:34:16.947203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 1308
98.6%
0.333 2
 
0.2%
0.042 2
 
0.2%
0.167 1
 
0.1%
0.053 1
 
0.1%
0.091 1
 
0.1%
0.023 1
 
0.1%
0.02 1
 
0.1%
0.083 1
 
0.1%
0.043 1
 
0.1%
Other values (7) 7
 
0.5%
ValueCountFrequency (%)
0 1308
98.6%
0.02 1
 
0.1%
0.023 1
 
0.1%
0.042 2
 
0.2%
0.043 1
 
0.1%
0.048 1
 
0.1%
0.053 1
 
0.1%
0.063 1
 
0.1%
0.067 1
 
0.1%
0.074 1
 
0.1%
ValueCountFrequency (%)
1 1
0.1%
0.333 2
0.2%
0.231 1
0.1%
0.167 1
0.1%
0.128 1
0.1%
0.091 1
0.1%
0.083 1
0.1%
0.074 1
0.1%
0.067 1
0.1%
0.063 1
0.1%

L10
Real number (ℝ)

Skewed  Zeros 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00034766214
Minimum0
Maximum0.333
Zeros1321
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:17.057282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.333
Range0.333
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0093876968
Coefficient of variation (CV)27.002356
Kurtosis1194.3454
Mean0.00034766214
Median Absolute Deviation (MAD)0
Skewness33.940195
Sum0.461
Variance8.8128851 × 10-5
MonotonicityNot monotonic
2024-12-16T08:34:17.150387image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1321
99.6%
0.033 1
 
0.1%
0.067 1
 
0.1%
0.02 1
 
0.1%
0.008 1
 
0.1%
0.333 1
 
0.1%
ValueCountFrequency (%)
0 1321
99.6%
0.008 1
 
0.1%
0.02 1
 
0.1%
0.033 1
 
0.1%
0.067 1
 
0.1%
0.333 1
 
0.1%
ValueCountFrequency (%)
0.333 1
 
0.1%
0.067 1
 
0.1%
0.033 1
 
0.1%
0.02 1
 
0.1%
0.008 1
 
0.1%
0 1321
99.6%

L11
Real number (ℝ)

Skewed  Zeros 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00022021116
Minimum0
Maximum0.143
Zeros1320
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:17.246014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.143
Range0.143
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0046631189
Coefficient of variation (CV)21.17567
Kurtosis740.6579
Mean0.00022021116
Median Absolute Deviation (MAD)0
Skewness26.236265
Sum0.292
Variance2.1744678 × 10-5
MonotonicityNot monotonic
2024-12-16T08:34:17.350003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1320
99.5%
0.012 1
 
0.1%
0.033 1
 
0.1%
0.017 1
 
0.1%
0.143 1
 
0.1%
0.004 1
 
0.1%
0.083 1
 
0.1%
ValueCountFrequency (%)
0 1320
99.5%
0.004 1
 
0.1%
0.012 1
 
0.1%
0.017 1
 
0.1%
0.033 1
 
0.1%
0.083 1
 
0.1%
0.143 1
 
0.1%
ValueCountFrequency (%)
0.143 1
 
0.1%
0.083 1
 
0.1%
0.033 1
 
0.1%
0.017 1
 
0.1%
0.012 1
 
0.1%
0.004 1
 
0.1%
0 1320
99.5%

L12
Real number (ℝ)

Zeros 

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0027292609
Minimum0
Maximum1
Zeros1316
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-12-16T08:34:17.453656image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.039716522
Coefficient of variation (CV)14.552116
Kurtosis373.80841
Mean0.0027292609
Median Absolute Deviation (MAD)0
Skewness18.102248
Sum3.619
Variance0.0015774021
MonotonicityNot monotonic
2024-12-16T08:34:17.557475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1316
99.2%
0.5 4
 
0.3%
0.167 2
 
0.2%
1 1
 
0.1%
0.059 1
 
0.1%
0.2 1
 
0.1%
0.026 1
 
0.1%
ValueCountFrequency (%)
0 1316
99.2%
0.026 1
 
0.1%
0.059 1
 
0.1%
0.167 2
 
0.2%
0.2 1
 
0.1%
0.5 4
 
0.3%
1 1
 
0.1%
ValueCountFrequency (%)
1 1
 
0.1%
0.5 4
 
0.3%
0.2 1
 
0.1%
0.167 2
 
0.2%
0.059 1
 
0.1%
0.026 1
 
0.1%
0 1316
99.2%

Interactions

2024-12-16T08:34:12.949975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:33:59.705833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.017636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.174669image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.375553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.572515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.747555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.048283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.160963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.327335image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.453486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.614642image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.042601image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:33:59.813688image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.109783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.282075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.466079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.671097image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.850182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.143071image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.263576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.412916image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.547789image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.711436image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.136123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:33:59.905138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.201030image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.374341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.557811image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.760456image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.948531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.237317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.353276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.497118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.645418image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.803330image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.231239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.014868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.301175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.469292image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.648855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.855530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.037750image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.329454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.455383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.586751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.736139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.052830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.329587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.109777image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.389906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.568968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.741428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.946070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.127411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.416994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.570160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.675794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.844550image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.145676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.426708image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.211350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.487411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.664512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.841825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.045719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.223306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.510744image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.660758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.786331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.937077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.244840image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.517669image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.307120image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.584137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.769594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.930391image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.150737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.320337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.599996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.765558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.896989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.027976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.351274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.610374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.398958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.688871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.876631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.030810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.255025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.412392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.689224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.855555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.989495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.129195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.448806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.701080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.505111image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.782514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.968561image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.139909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.345638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.645760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.787668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.942093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.073920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.219956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.539590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.786968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.599432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.873574image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.068367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.258931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.440810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.746966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.878644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.033862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.159578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.325042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.631474image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.888308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.697375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:01.968188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.176179image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.373963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.538794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.856551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:07.968604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.130484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.262820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.416867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.734929image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:13.993026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:00.922671image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:02.076146image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:03.283541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:04.484458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:05.650481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:06.953127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:08.072455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:09.227189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:10.361696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:11.516035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-12-16T08:34:12.838378image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-12-16T08:34:17.654425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
L1L10L11L12L2L3L4L5L6L7L8L9
L11.0000.0710.1120.1360.3660.4620.5050.8710.3040.2750.5790.192
L100.0711.0000.179-0.0050.1150.1600.0870.075-0.0120.0680.078-0.007
L110.1120.1791.000-0.0060.1610.1590.1250.1120.0460.0570.091-0.008
L120.136-0.005-0.0061.000-0.0090.0710.0870.082-0.017-0.0260.055-0.010
L20.3660.1150.161-0.0091.0000.6620.3770.3940.3370.6630.5890.096
L30.4620.1600.1590.0710.6621.0000.4070.5060.4640.6220.5480.092
L40.5050.0870.1250.0870.3770.4071.0000.5680.2270.2830.7410.207
L50.8710.0750.1120.0820.3940.5060.5681.0000.3000.2910.4820.163
L60.304-0.0120.046-0.0170.3370.4640.2270.3001.0000.2170.2420.081
L70.2750.0680.057-0.0260.6630.6220.2830.2910.2171.0000.380-0.013
L80.5790.0780.0910.0550.5890.5480.7410.4820.2420.3801.0000.170
L90.192-0.007-0.008-0.0100.0960.0920.2070.1630.081-0.0130.1701.000

Missing values

2024-12-16T08:34:14.122543image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-12-16T08:34:14.307871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

L1L2L3L4L5L6L7L8L9L10L11L12
01.00.00.00.01.00.00.00.00.00.00.00.0
11.00.00.00.01.00.00.00.00.00.00.00.0
21.00.00.00.01.00.00.00.00.00.00.00.0
31.00.00.00.01.00.00.00.00.00.00.00.0
41.00.00.00.01.00.00.00.00.00.00.00.0
51.00.00.00.01.00.00.00.00.00.00.00.0
61.00.00.00.01.00.00.00.00.00.00.00.0
71.00.00.00.01.00.00.00.00.00.00.00.0
81.00.00.00.01.00.00.00.00.00.00.00.0
91.00.00.00.01.00.00.00.00.00.00.00.0
L1L2L3L4L5L6L7L8L9L10L11L12
13160.00.00.00.00.00.00.00.00.00.00.00.0
13170.00.00.00.00.00.00.00.00.00.00.00.0
13180.00.00.00.00.00.00.00.00.00.00.00.0
13190.00.00.00.00.00.00.00.00.00.00.00.0
13200.00.00.00.00.00.00.00.00.00.00.00.0
13210.00.00.00.00.00.00.00.00.00.00.00.0
13220.00.00.00.00.00.00.00.00.00.00.00.0
13230.00.00.00.00.00.00.00.00.00.00.00.0
13240.00.00.00.00.00.00.00.00.00.00.00.0
13250.00.00.00.00.00.00.00.00.00.00.00.0

Duplicate rows

Most frequently occurring

L1L2L3L4L5L6L7L8L9L10L11L12# duplicates
00.000.00.00.000.000.00.00.000.00.00.00.0897
271.000.00.00.001.000.00.00.000.00.00.00.043
30.000.00.01.000.000.00.01.000.00.00.00.027
251.000.00.00.000.000.00.01.000.00.00.00.012
50.000.00.01.001.000.00.00.000.00.00.00.011
80.001.00.00.000.000.00.01.000.00.00.00.08
90.001.00.00.000.000.01.00.000.00.00.00.08
200.750.00.00.250.750.00.00.250.00.00.00.07
150.500.00.00.500.500.00.00.500.00.00.00.05
60.000.01.00.000.000.00.01.000.00.00.00.04